Similar Search Results

How Long Do People Live in Low-income Neighbourhoods? Evidence for Toronto, Montreal and Vancouver

Picot, Garnett; Sceviour, Roger; Frenette, Marc - Statistics Canada, Government of Canada - 2004

This study uses longitudinal tax data to explore several undocumented aspects regarding the duration of time spent residing in low-income neighbourhoods (residential 'spells'). Although the length of new spells is generally substantial (at least compared with low-income spells), there is quite a...

Persistent link: https://www.econbiz.de/10005328168

A Longitudinal Analysis of Earnings Change in Canada

Finnie, Ross; Beach, Charles M. - Statistics Canada, Government of Canada - 2004

This paper examines trends in earnings, using tax-based longitudinal data from the last two decades and synthetic cohort analysis.

Persistent link: https://www.econbiz.de/10005328172

Thinking 'Small' and the Understanding of Poverty: Maymana and Mofizul's Story

Hulme, David - eSocialSciences - 2009

counterbalance this through â€˜thinking smallâ€™. It illustrates this through the life history of a poor two person household in …

Persistent link: https://www.econbiz.de/10005341746

Household Semi-Public Goods and the Estimation of Consumer Equivalence Scales: Some First Steps

Bradbury, Bruce - EconWPA - 1995

Models of household consumption used to estimate the relative needs of people living in different family types need to … take account of economies of household size, price-like substitution effects and the allocation of consumption among the … individuals of the household. No existing estimation method tackles all three of these issues in a simultaneous and transparent …

Persistent link: https://www.econbiz.de/10005077071

Food Consumption and Nutritional Status in India: Emerging Trends and Perspectives

R, Radhakrishna - eSocialSciences - 2009

The paper reviews the trends over three decades in the consumption of cereals, calories and micronutrients and nutritional status based on anthropometric measures using the data sets of NSS, NNMB and NFHS. It provides an explanation for the slow growth of nutrient intake and slow reduction in...

Persistent link: https://www.econbiz.de/10005077863